Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add HKUDS/Vibe-Trading --skill geopolitical-riskgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hkuds/vibe-trading/geopolitical-risk)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/geopolitical-risk"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/geopolitical-risk/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/geopolitical-risk"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/geopolitical-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 675 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.07631 |
| Opus 5 | $0.00017 | $0.03816 |
| Sonnet 5 | $0.00007 | $0.01526 |
| Haiku 4.5 | $0.00003 | $0.00763 |
Grade A, and why
geopolitical-risk scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- geopolitical-risk — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 917 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geopolitical Risk Analysis
Overview
Quantify geopolitical risk signals, identify crisis precursors, and build event-driven strategies that convert narratives such as "war / conflict / sanctions / supply disruption" into actionable multi-asset allocation decisions.
Core Analytical Framework
1. Risk Layering Model
Layer 1: Structural risk (long-lasting, slow-moving)
└── Great-power rivalry, alliance structures, nuclear deterrence balance
Layer 2: Situational risk (cyclical escalation, monthly / quarterly scale)
└── Military exercises, election cycles, sanctions escalation, diplomatic friction
Layer 3: Event risk (sudden shocks, daily / hourly scale)
└── Military action, assassination, sanctions announcements, nuclear tests
2. Five Dimensions of Risk Assessment
| Dimension | Description | Quantitative Proxy |
|---|---|---|
| Intensity | Severity of conflict / sanctions | GPR Index percentile |
| Persistence | Expected duration of the crisis | Futures curve contango / backwardation |
| Transmission | Spillover into supply chains / finance | CDS spread widening, VIX jump magnitude |
| Predictability | Whether the event is already priced in | Option implied volatility skew |
| Reversibility | Whether the situation can be resolved through negotiation | Speed of reversal in news sentiment |
Monitoring the Six Major Global Geopolitical Hotspots
1. Strait of Hormuz — Oil Transport Chokepoint
Strategic significance
- Roughly 20% of global oil supply (about 17 million barrels/day) and 20% of LNG passes through it
- Iran has the ability to disrupt the strait through mines, naval assets, and shore-based missiles
- It is the only export route for Gulf states such as Saudi Arabia, the UAE, Kuwait, and Iraq
Risk triggers
- Escalation in U.S.-Iran tensions, such as failed nuclear talks or tighter sanctions
- Tankers being seized or attacked
- Iranian blockade drills during military exercises
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 917 lines · 34 tokens per session scan A bd54bcb58e48
geopolitical-risk is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 7,631 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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